M. Sultan Zia
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Co-authors
- Shehzad Ashraf ChaudhryAnabi Hilary KelechiMohammed H. AlsharifSunghwan KimMahmoud A. AlbreemMuhammad YaqubJinchao FengKaleem Arshid
- Topics
- Emotion and Mood Recognition (4 papers)Face and Expression Recognition (4 papers)Brain Tumor Detection and Classification (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessApplied Sciences
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
M. Sultan Zia
22 papers receiving 670 citations
Peers
Comparison fields: 5 of 97
- Electrical and Electronic Engineering 214
- Computer Vision and Pattern Recognition 170
- Artificial Intelligence 140
- Radiology, Nuclear Medicine and Imaging 124
- Neurology 110
Countries citing papers authored by M. Sultan Zia
This map shows the geographic impact of M. Sultan Zia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Sultan Zia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Sultan Zia more than expected).
Fields of papers citing papers by M. Sultan Zia
This network shows the impact of papers produced by M. Sultan Zia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Sultan Zia. The network helps show where M. Sultan Zia may publish in the future.
Co-authorship network of co-authors of M. Sultan Zia
This figure shows the co-authorship network connecting the top 25 collaborators of M. Sultan Zia. A scholar is included among the top collaborators of M. Sultan Zia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Sultan Zia. M. Sultan Zia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 23 | |
| 9 | 49 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 39 | |
| 13 | 57 | |
| 14 | 134 | |
| 15 | 236 | |
| 16 | 12 | |
| 17 | 8 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 15 |
About M. Sultan Zia
M. Sultan Zia is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 25 papers that have together received 704 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (4 papers), Face and Expression Recognition (4 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Health Informatics (21 citations), Neurology (110 citations) and Computer Vision and Pattern Recognition (170 citations). M. Sultan Zia has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Shehzad Ashraf Chaudhry, Anabi Hilary Kelechi, Mohammed H. Alsharif, Sunghwan Kim, Mahmoud A. Albreem, Muhammad Yaqub, Jinchao Feng, Kaleem Arshid, Zaka Ur Rehman and M. Arfan Jaffar. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.